The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS: Research Article: Social Media and Depression
Open accessAbstract
BACKGROUND: Social media (SM) use is increasing among U.S. young adults, and its association with mental well-being remains unclear. This study assessed the association between SM use and depression in a nationally representative sample of young adults. METHODS: We surveyed 1,787 adults ages 19 to 32 about SM use and depression. Participants were recruited via random digit dialing and address-based sampling. SM use was assessed by self-reported total time per day spent on SM, visits per week, and a global frequency score based on the Pew Internet Research Questionnaire. Depression was assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Depression Scale Short Form. Chi-squared tests and ordered logistic regressions were performed with sample weights. RESULTS: The weighted sample was 50.3% female and 57.5% White. Compared to those in the lowest quartile of total time per day spent on SM, participants in the highest quartile had significantly increased odds of depression (AOR = 1.66, 95% CI = 1.14-2.42) after controlling for all covariates. Compared with those in the lowest quartile, individuals in the highest quartile of SM site visits per week and those with a higher global frequency score had significantly increased odds of depression (AOR = 2.74, 95% CI = 1.86-4.04; AOR = 3.05, 95% CI = 2.03-4.59, respectively). All associations between independent variables and depression had strong, linear, dose-response trends. Results were robust to all sensitivity analyses. CONCLUSIONS: SM use was significantly associated with increased depression. Given the proliferation of SM, identifying the mechanisms and direction of this association is critical for informing interventions that address SM use and depression.
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“The excessive use of social media platforms has been associated with negative psychological effects amongst young adults (Lin et al., 2016).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Lin et al., 2016
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“A wealth of evidence suggests higher levels of social media use are associated with symptoms of anxiety [3-5], symptoms of depression [3,6-8], decreased psychological well-being [9], lower self-esteem [3], psychological distress [10-12], and loneliness [5].”
From Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis. (2022) · cites this paper as [7]
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“more frequent visits to social media platforms each week were correlated with greater depressive symptoms (Lin et al., 2016).”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Lin et al., 2016
In the citing paper
“Other research has extended this by suggesting that use of social media is associated with depressive symptoms and a decline in well-being among both adolescents (Pantic et al., 2012) and adults (Kross et al., 2013; Lin et al., 2016; McDougall et al., 2016; Shensa et al., 2016).”
From Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study (2017) · cites this paper as Lin et al., 2016
In the citing paper
“Although some studies have linked more time on social media to increased depressive or anxious symptoms [10,47]”
From Understanding Links Between Social Media Use, Sleep and Mental Health: Recent Progress and Current Challenges (2019) · cites this paper as [47]
In the citing paper
“SNS addiction (e.g., preoccupation with social media, excessive use) is associated with lower well-being and depression,14,58 which can predict worse physical health.59”
From Social Media Use and Its Link to Physical Health Indicators (2022) · cites this paper as [58]
In the citing paper
“Cross-sectional and correlational trend analyses appear to show increases in depression rates alongside increased social media engagement [(9, 11–14); also see (15), for a contrasting result].”
From Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective (2021) · cites this paper as [13]
In the citing paper
“social media use has been associated with higher levels of depression in young adults [14]”
From Instagram use is linked to increased symptoms of orthorexia nervosa. (2017) · cites this paper as [14]
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Cites
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052
Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Murray, C. J. L., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61689-4 · Cited by 8,888
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., et al. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.04.011 · Cited by 5,128
A cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010
Hankin, B. L., Abramson, L. Y., Moffitt, T. E., Silva, P. A., McGee, R., & Angell, K. E. (1998) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.107.1.128 · Cited by 2,333
Valenzuela, S., Park, N., & Kee, K. F. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01474.x · Cited by 2,229 · cited 1×
“[16, 17] Some studies suggest that SM users may experience decreased depression,[18] possibly from an increase in social capital, perceived social support, and life satisfaction.[19, 20] Other studies, however, indicate that frequent use of social media may be associated with declines in subjective well-being, life sa…”
Background
Research works printed but not linked: 2
- Fox, 2014, The Web at 25 in the US, Pew Research Center
- Choi, 2014, Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression, Psychol Assess, 26, 513, 10.1037/a0035768 · DOI · Paper page
Cited by
Sorted by citations
Twenge, J. M., Cooper, A. B., Joiner, T. E., Duffy, M. E., & Binau, S. G. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000410 · Cited by 1,469
Children and Adolescents and Digital Media
Reid Chassiakos, Y. (., Radesky, J., Christakis, D., Moreno, M. A., Cross, C., COUNCIL ON COMMUNICATIONS AND MEDIA, Hill, D., Ameenuddin, N., Hutchinson, J., Levine, A., et al. (2016) · Pediatrics · doi:10.1542/peds.2016-2593 · Cited by 1,340
Poverty, depression, and anxiety: Causal evidence and mechanisms
Ridley, M., Rao, G., Schilbach, F., & Patel, V. (2020) · Science · doi:10.1126/science.aay0214 · Cited by 1,220
Do social network sites enhance or undermine subjective well-being? A critical review
Verduyn, P., Ybarra, O., Résibois, M., Jonides, J., & Kross, E. (2017) · Social Issues and Policy Review · doi:10.1111/sipr.12033 · Cited by 1,209
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.01.012 · Cited by 1,033
Metadata
- Authors
- Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A.
- Affiliations
- University of Pittsburgh (US)
- Division of Adolescent and Young Adult Medicine; Department of Pediatrics; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
- Corresponding author
- Primack, Brian A.
- ORCID
- Venue
- Depression and Anxiety
- Publisher
- Wiley
- Published
- 2016-01-19
- Volume
- 33
- Issue
- 4
- Pages
- 323-331
- ISSN
- 1091-4269 (ISSN-L)
- PMC
- PMC4853817
- OpenAlex
- W2300872908
- Cited by
- 1,111
- References
- 48
- Citations by year
- 2026: 88 · 2025: 129 · 2024: 113 · 2023: 140 · 2022: 144 · 2021: 159 · 2020: 149 · 2019: 82 · 2018: 63 · 2017: 25 · 2016: 16
- FWCI
- 177.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Depression and Anxiety (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- D-Scholarship@Pitt (University of Pittsburgh) (acceptedVersion)
- Funders
- National Institute of Mental Health (R25-MH054318)
- National Cancer Institute (R01-CA140150)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Keywords
- social media use, depression, young adults, psychological well-being, dose-response relationship
- MeSH terms
- Adult, Depressive Disorder, Female, Humans, Male, Psychiatric Status Rating Scales, Surveys and Questionnaires, United States, Logistic Models, Internet, Young Adult, Self Report, Social Media
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